AI search visibility is a system, not a report.

Generative engine optimisation (GEO) is the work of improving how a brand appears in AI answers. We help companies understand how their category is represented across ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode, then build the system required to improve that visibility.

Prominence AI, our own technology, gives us the measurement layer. Our consulting turns that evidence into priorities, frameworks, governance and work that teams can actually run.

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Illustrative exampleAn answer of the kind generative engines give every day, written for this page. It is not a measurement of any brand.

Prompt

What is the best cream for atopic skin?

Answer

For atopic skin, dermatologists usually recommend a fragrance-free emollient applied every day, especially after washing. The options that come up most often:

  1. La Roche-Posay Lipikar Baume AP+M1

    For very dry skin prone to eczema.

  2. Avène XeraCalm A.D2

    A soothing balm for itching.

  3. Eucerin AtopiControl3

    Designed for flare-ups.

  4. CeraVe Moisturising Cream4

    With ceramides to support the skin barrier.

If the skin is inflamed or cracked, see a dermatologist.

Where the answer came from

Your brand

Not in the answer. The sources that decided it belong to four different teams.

  1. A comparison in a consumer health magazineCommunications and PR
  2. A pharmacy retailer’s product page and its reviewsEcommerce
  3. A dermatologist’s review on YouTubeContent and social
  4. The brand’s own product pageSEO and web

GEO consulting clients

AI search does not belong to one team.

A brand’s absence from AI answers is usually noticed at the top. Someone on the leadership team asks ChatGPT about the category, and the brand is not in the answer. Or it is, described in a way nobody would sign off.

What a generative engine says about a brand is shaped by the corporate website, editorial coverage, retailer pages, marketplaces, social content, reviews and other third-party sources. Those assets are rarely controlled by the same people.

SEO owns search visibility. Communications owns media relationships and the narrative. Ecommerce manages retailers. Social and content control another set of signals. Technology decides what can change on owned platforms. Agencies work from separate briefs.

A list of GEO recommendations does not solve that. The organisation needs a common way to decide what matters, who acts on it and whether the work is changing anything.

GEO consulting the whole organisation can run.

Miraiku’s GEO consulting defines and implements how an organisation manages its visibility across generative engines.

We start with the category: how the brand appears, how competitors appear, which sources shape the answers and where the biggest gaps sit. Then we turn that diagnosis into something the organisation can use: priorities, frameworks, guidelines, ownership, governance and a measurement model.

Anyone can tell you what to do. Moving the needle takes a system, and the system is what we build.

The work has to survive the presentation.

A strategy is useful only if the organisation can run it afterwards. Five phases, repeated as the category and the engines change, and each one leaves something inside the company.

  1. 01

    Understand the category

    Prominence AI measures how brands and competitors appear across ChatGPT, Gemini, Perplexity, Google AI Overviews, Google AI Mode, Copilot and Grok, by prompt, market and topic. We use that data to see where visibility is won, lost or shaped by third-party sources.

    Stays inside the company

    • Brand and website analysis
    • Benchmarking
    • Source and channel mix
    • Category diagnosis
    • Measurement framework
  2. 02

    Define the levers

    We connect visibility data with the assets and sources behind it, then define the key initiatives: what deserves attention, what can realistically change and where resources are better spent elsewhere.

    Stays inside the company

    • Key initiative definition
    • Prioritisation
  3. 03

    Build the operating model

    We define the frameworks, guidelines, responsibilities and working routines that take the work from recommendations to coordinated execution, across internal teams, local markets and agencies.

    Stays inside the company

    • Guidelines
    • Governance
    • Team and agency integration
  4. 04

    Execute

    We put the initiatives to work across everything a generative engine reads, with the teams and agencies that own each part.

    ContentTechnical optimisationThird-party sourcesSocial mediaBrand entitySource consensus

    Stays inside the company

    • Initiative implementation
  5. 05

    Measure and iterate

    Prominence AI stays in the system after the diagnosis. We use it to review what changed, challenge assumptions and update priorities as the category and the engines change.

    Stays inside the company

    • Iteration

The system follows the organisation, not the org chart.

In larger companies, AI search can involve global and local SEO, digital, communications, social, ecommerce, paid search, IT, retailers and several agencies. We work across those boundaries to create one framework for measurement, priorities and execution.

For a multi-brand or multi-market organisation, that means governance between headquarters, brands, markets and agencies. We work internationally, and agencies are part of the system rather than something it replaces.

For a company with a simpler structure, the same principle applies with fewer moving parts: establish what matters, decide who owns it and make the work measurable. The framework changes with the organisation. The discipline does not.

We have done this for large international clients running many brands across many markets, in beauty, pharma, automotive and consumer electronics.

AI search crosses disciplines. So does our team.

Our team brings strategy, search, technology and communications into the same engagement, supported by specialist partners when the work requires it.

Strategy
Connects AI search with the category, the business and the decisions that need to be made.
Search
How demand, content, authority and discoverability interact.
Technology
Measurement, data and the systems teams need to run the work.
Communications
The third-party sources, media and narratives that also shape generative answers.

AI search rarely fails for lack of another recommendation. It fails when the recommendation cannot move across the organisation.

Who we are

Where this work makes sense

When the question has moved beyond “how do we appear in ChatGPT?”

It makes sense when

  • Leadership wants a clear view of AI search.
  • Several teams, markets or agencies influence the answer.
  • Competitors are gaining visibility, or organic search is changing.
  • Existing GEO recommendations are producing more activity than clarity.
  • Nobody clearly owns AI search across the organisation.
  • The organisation has strong digital capabilities but no common model for AI search.

It is probably not the right fit when

  • The need is access to a monitoring tool. Prominence AI may be enough.
  • The expectation is a shortcut that changes generative answers in a few weeks.
  • It is a one-off project with nobody to act on it afterwards.

A system starts with understanding the problem properly.

If AI search has become a question that crosses teams, markets or agencies inside your organisation, the fastest way to find out whether we are useful to you is a conversation.

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